Optimal allocation of renewable energy resources in a smart grid under neutrosophic credibility-based uncertainty
Modern research in renewable energy systems faces many challenges in dealing with uncertain data and inconsistent expert evaluations, particularly in the context of smart grid systems. Traditional multi-attribute decision-making (MADM) methods are incapable of representing the accumulated effect of...
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Elsevier
2025-11-01
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| Series: | Ain Shams Engineering Journal |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2090447925004290 |
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| author | Muhammad Zafar Abbas Rukhshanda Anjum Muhammad Umar Mirza Abdulrahman A. Almehizia Amir Hussain |
| author_facet | Muhammad Zafar Abbas Rukhshanda Anjum Muhammad Umar Mirza Abdulrahman A. Almehizia Amir Hussain |
| author_sort | Muhammad Zafar Abbas |
| collection | DOAJ |
| description | Modern research in renewable energy systems faces many challenges in dealing with uncertain data and inconsistent expert evaluations, particularly in the context of smart grid systems. Traditional multi-attribute decision-making (MADM) methods are incapable of representing the accumulated effect of truth, ambiguity and credibility, which are important factors when it comes to decision-making in energy planning. To address these limitations, this study presents a novel concept of neutrosophic credibility numbers (NCNs) as a new modeling tool that uses truth, indeterminacy and falsity components with credibility measurement for uncertainty representation. Based on NCNs, we introduce a novel aggregation operator termed as generalized neutrosophic fuzzy credibility numbers weighted averaging (GNFCNWA) operator which enhances aggregation of uncertain information and improves the credibility of decisions. Furthermore, we also provide an algorithm that extends the utilization of NCNs with the GNFCNWA operator in a complete approach to decision-making. In order to validate the effectiveness of our proposed approach, the method is applied to a case study in an optimal renewable energy resource allocation in sustainable energy systems in a smart grid. The analysis focuses on evaluating four major alternatives such as solar farm, wind park, battery storage system and hybrid energy systems on the basis of four key attributes including energy demand matching, transmission efficiency along with environmental impact and integration feasibility. The alternative solar farm stands out as an optimal alternative. A sensitivity analysis is performed using different set of value of the operator's parameter to confirm the robustness of the ranking outcomes. Furthermore, a comparative analysis with the existing methods confirms the efficacy of the proposed approach. Overall, the fusion of neutrosophic theory with credibility provides groundbreaking approach to sustainable energy systems and other engineering domains. |
| format | Article |
| id | doaj-art-7b4cfcbc101e4a2eba70e95edf1fa339 |
| institution | Kabale University |
| issn | 2090-4479 |
| language | English |
| publishDate | 2025-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ain Shams Engineering Journal |
| spelling | doaj-art-7b4cfcbc101e4a2eba70e95edf1fa3392025-08-23T04:48:00ZengElsevierAin Shams Engineering Journal2090-44792025-11-01161110368810.1016/j.asej.2025.103688Optimal allocation of renewable energy resources in a smart grid under neutrosophic credibility-based uncertaintyMuhammad Zafar Abbas0Rukhshanda Anjum1Muhammad Umar Mirza2Abdulrahman A. Almehizia3Amir Hussain4Department of Mathematics and Statistics, University of Lahore, Lahore, PakistanDepartment of Mathematics and Statistics, University of Lahore, Lahore, Pakistan; Corresponding author.Department of Mathematics and Statistics, University of Lahore, Lahore, PakistanDrug Exploration and Development Chair (DEDC), Department of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, PO Box 2457, Riyadh 11451, Saudi ArabiaCollege of Humanities and Social Sciences, Hebei Agricultural University, Baoding, China; Department of Mathematics and Statistics, University of Lahore, Lahore, PakistanModern research in renewable energy systems faces many challenges in dealing with uncertain data and inconsistent expert evaluations, particularly in the context of smart grid systems. Traditional multi-attribute decision-making (MADM) methods are incapable of representing the accumulated effect of truth, ambiguity and credibility, which are important factors when it comes to decision-making in energy planning. To address these limitations, this study presents a novel concept of neutrosophic credibility numbers (NCNs) as a new modeling tool that uses truth, indeterminacy and falsity components with credibility measurement for uncertainty representation. Based on NCNs, we introduce a novel aggregation operator termed as generalized neutrosophic fuzzy credibility numbers weighted averaging (GNFCNWA) operator which enhances aggregation of uncertain information and improves the credibility of decisions. Furthermore, we also provide an algorithm that extends the utilization of NCNs with the GNFCNWA operator in a complete approach to decision-making. In order to validate the effectiveness of our proposed approach, the method is applied to a case study in an optimal renewable energy resource allocation in sustainable energy systems in a smart grid. The analysis focuses on evaluating four major alternatives such as solar farm, wind park, battery storage system and hybrid energy systems on the basis of four key attributes including energy demand matching, transmission efficiency along with environmental impact and integration feasibility. The alternative solar farm stands out as an optimal alternative. A sensitivity analysis is performed using different set of value of the operator's parameter to confirm the robustness of the ranking outcomes. Furthermore, a comparative analysis with the existing methods confirms the efficacy of the proposed approach. Overall, the fusion of neutrosophic theory with credibility provides groundbreaking approach to sustainable energy systems and other engineering domains.http://www.sciencedirect.com/science/article/pii/S2090447925004290Neutrosophic credibility numbersGeneralized neutrosophic fuzzy credibility numbers weighted averaging operatorMulti-attribute decision-makingCredibility based aggregationModeling uncertaintyRenewable energy resource allocation |
| spellingShingle | Muhammad Zafar Abbas Rukhshanda Anjum Muhammad Umar Mirza Abdulrahman A. Almehizia Amir Hussain Optimal allocation of renewable energy resources in a smart grid under neutrosophic credibility-based uncertainty Ain Shams Engineering Journal Neutrosophic credibility numbers Generalized neutrosophic fuzzy credibility numbers weighted averaging operator Multi-attribute decision-making Credibility based aggregation Modeling uncertainty Renewable energy resource allocation |
| title | Optimal allocation of renewable energy resources in a smart grid under neutrosophic credibility-based uncertainty |
| title_full | Optimal allocation of renewable energy resources in a smart grid under neutrosophic credibility-based uncertainty |
| title_fullStr | Optimal allocation of renewable energy resources in a smart grid under neutrosophic credibility-based uncertainty |
| title_full_unstemmed | Optimal allocation of renewable energy resources in a smart grid under neutrosophic credibility-based uncertainty |
| title_short | Optimal allocation of renewable energy resources in a smart grid under neutrosophic credibility-based uncertainty |
| title_sort | optimal allocation of renewable energy resources in a smart grid under neutrosophic credibility based uncertainty |
| topic | Neutrosophic credibility numbers Generalized neutrosophic fuzzy credibility numbers weighted averaging operator Multi-attribute decision-making Credibility based aggregation Modeling uncertainty Renewable energy resource allocation |
| url | http://www.sciencedirect.com/science/article/pii/S2090447925004290 |
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